Genome Databases
Winston Hide, South African National Bioinformatics Institute and University of the
Western Cape, Bellville, South Africa
A genome comprises all of the genetic material in the chromosomes of a particular
organism. Genome databases are an organized collection of information that have resulted
from the production or mapping of genome (sequence) or genome product (transcript,
protein) information.
Introduction
A genome is all of the genetic material in the
chromosomes of a particular organism. Genome
databases are an organized collection of information
that have resulted from the production or mapping of
genome (sequence) or genome product (transcript,
protein) information. The process of making a genome
database involves taking information that researchers
have generated and organizing it into a database so
that biological inferences can be made. Genome
databases vary widely, closely reflecting the communities
that they serve.
This article focuses on human and model organism
databases, but there are several other systems including
plant and microbial databases and genome
product databases (transcript, protein and structure)
that are not covered here. Underlying technologies
tend to influence the functionality of a database system
and thus have a significant role in delivering understanding
of the underlying biology derived from a
genome. Some of the technologies that are likely to
influence the development of genome databases are
described below.
The Value of Genomics is a Function
of the Management of the
Information it Generates
The rapid accumulation of genome data, including
that of the human genome, has been a result of the
implementation of high-throughput genome technology.
It has meant that a significant new set of
information has become available. The utility of that
information is related directly to the quality and
structure of its organization as a resource. Once
organized, the value of the information can be
improved markedly by integration and relative
crossreferencing between and within biological information
systems.
Genome databases and the integration of
sequence information
Genome databases contain a variety of biological
information. Before the increase in the rate of
sequencing that has heralded the human genome,
mapping and genetic locus data were the primary
information that could be applied at a genome level.
For the human genome the Genome Database (GDB),
which was originally developed at Johns Hopkins
University in Baltimore, Maryland, has been one
official central repository for genomic mapping data
in Homo sapiens since 1990. Although it now contains
sequence information, this was not its original focus.
As the field of genomics has moved rapidly from
basic genetics and mapping into the sequencing era,
genome databases have tended to contain significantly
greater proportions of genome sequence. The integration
of sequence data with other genomic and
biological information, particularly in the higher
eukaryotes, has been central to the utility of genome
databases. The aim of providing a genome sequence
involves the ability to link, for example, a specific
phenotype, publication, similar gene or phenotype in
another species, disease, genetic locus, experiment or
event to a particular molecular sequence. A genome
database has the potential to realize this aim and thus
provides a powerful link between the biology of an
organism and its underlying genome sequence.
Sequence annotation
Sequence annotation is the association of biological
information with a specific molecular sequence. The
sequencing of any genome results in the production of
large amounts of deoxyribonucleic acid (DNA) information.
The meaning of this information can be
determined only by the process of annotation. The
Genome Databases
ENCYCLOPEDIA OF LIFE SCIENCES & 2005, John Wiley & Sons, Ltd. www.els.net 1
Advanced article
Article contents
 Introduction
 The Value of Genomics is a Function of the
Management of the Information it Generates
 Model Organisms and Types of Genome Database
 Genome Database Systems
 Genome Database Technologies
doi: 10.1038/npg.els.0005314
sequence is linked with other genome sequences, usually
by sequence comparison, and processed in the light of
knowledge that has been determined before the
sequencing of the genome in question. A genome
database is therefore as good as the quality and
implementation of knowledge that is associated with
each part of the genome sequence that has been
produced.
Model Organisms and Types of
Genome Database
Many mapping and sequencing technologies have
been developed from studies of nonhuman genomes,
such as the bacterium Escherichia coli, the yeast
Saccharomyces cerevisiae, the fruitfly Drosophila
melanogaster, the roundworm Caenorhabditis elegans
and the laboratory mouse Mus musculus. These
experimentally and genetically mutable systems provide
models for investigating the complex human
genome. Prokaryotic genome projects have tended to
be far more diverse in scope and number than have
eukaryotic projects. The Genomes OnLine Database
yields to date over 170 eukaryotic and 240 prokaryotic
ongoing projects, of which at least 78 are published.
Genome databases can be described according to
molecules (genome sequence, messenger ribonucleic
acid (mRNA), proteins, mutated genes) or on the
basis of the organisms that they describe. The
complexity and number of such databases reflect
the complexity of the systems that they support.
(See Genetic Databases; Genetic Databases: Mining.)
Model organisms have been a focus of genomics
and therefore of genome databases. As biology is
similar in many organisms, working on a model system
allows inferences that would not normally be possible
for an organism such as a human. Combining the
results of genetic and experimental studies with
genomic information is necessary to make a useful
genome database. The nature of the scientific community
that has developed a particular genome project is
often reflected in the database assigned to manage that
information. A community such as that for the fruitfly
D. melanogaster or the nematode worm C. elegans
may have historically worked relatively close together
and so have developed a database for each system that
has good connectivity between several aspects of
genome and nongenome data.
A much larger community, such as that for human,
has had to address the problem in a different manner
because the community is less close knit, and ‘entry’
points for genome information are much more diverse,
resulting in different databases covering different
aspects of human genomic information. The principal
databases are listed in Table 1.
Organism-specific databases
Human
The GDB is among the oldest human genome
database systems, and its structure reflects the historic
focus of the community on the genetics and mapping
of the human genome. The close interaction of the
GDB with the human genetics community means
that its data have been structured to serve human
geneticists.
Data for each gene can include publications, known
disease phenotypes, a GeneCard link, a Human Gene
Mutation Database and LocusLink, a National Center
for Biotechnology Information (NCBI) LocusLink
and also rudimentary expression data in terms of the
UniGene Cluster code (see Table 1). The database is
strong in terms of mapping information for each
genetic locus, but a sequence-based view of each gene
is not available.
Mouse
The Mouse Genome Database (MGD) contains
information on mouse genetic markers, molecular
segments, phenotypes, comparative mapping data,
experimental mapping data and graphical displays
for genetic, physical and cytogenetic maps. It was the
first online resource for mouse genetic information.
MGD is similar in concept to GDB (human) in that it
has been focused on support of the mouse research
community.
Developed before the advent of large-scale genome
sequencing, the MGD also has a strong bias toward
nonsequence data. The curators at the Jackson
Laboratories in Bar Harbor, Maine, have kept up
with developments in genomics to embrace the new
data, and also to continue developing pertinent
informatics solutions to support the genomics environment.
MGD reports contain genes, alleles and
phenotypes, molecular probes and segments, mammalian
homology and comparative maps, gene expression,
strains and polymorphisms, references, accession
codes and chromosome committee reports. MGD is a
member of the Gene Ontology Consortium (see
below).
Roundworm
WormBase is the repository of mapping, sequencing
and phenotypic information on the C. elegans nematode.
The C. elegans sequencing project represents one
of the earliest efforts to sequence an animal eukaryote.
The development of eukaryotic genome databases was
spearheaded by this project. AceDB development (see
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Table 1 Human Genome Databases
URL Notes
Whole-genome databases
GenomeWeb: Human Genome Resources http://www.hgmp.mrc.ac.uk/GenomeWeb/
human-gen-db-genome.html
A good web page for details of various
human and other genome data sources
http://www.hgmp.mrc.ac.uk/GenomeWeb/
genome-db.html
The Genome Database http://www.gdb.org/ Database that is not ‘sequence-centric’
Online Mendelian Inheritance in Man http://www3.ncbi.nlm.nih.gov/Omim/ Database that is not ‘sequence-centric’
Human Chromosome-Specific WWW
servers
http://www.gdb.org/gdb/
hgpResources.html#CHROMOSOMES
List of databases for individual human
chromosomes
Ensembl http://www.ensembl.org/ Integrated whole human genome
information at the sequence levelEnsembl: Human Genome Central http://www.ensembl.org/genome/central/
UCSC Human Genome Browser,
commonly known as ‘Golden Path
Assembly’
http://genome.cse.ucsc.edu/goldenPath/
hgTracks.html
Integrated whole human genome
information at the sequence level
The Human Genome Guide to Online
Information Resources
http://www.ncbi.nlm.nih.gov/genome/guide/
human/
Integrated whole human genome
information at the sequence level
The Unified Database for Human Genome
Mapping
http://bioinformatics.weizmann.ac.il/udb/ Integrated map for each human
chromosome includes physical data
with links to various databases
including GeneCards
Genome Channel http://compbio.ornl.gov/channel/ Unified query interface for multiple
genomes, emphasis on genomes in
which US Department of Energy has
participated
Single-gene databases
GeneCardsTM
http://bioinformatics.weizmann.ac.il/cards/ Associates human genes, products and
diseases
Genatlas http://www.dsi.univ-paris5.fr/genatlas/ Integrates a growing list of genes,
pathways, proteins, diseases and
characteristics
RefSeq http://www.ncbi.nlm.nih.gov:80/LocusLink/
refseq.html
An attempt to provide standard
reference sequences for analysis
Databases that curate transcript information
UniGene http://www.ncbi.nlm.nih.gov/entrez/
query.fcgi?db=unigene
Nonredundant set of gene-oriented
clusters with little manual curation.
No consensus sequences
TIGR Human Gene Index http://www.tigr.org/tdb/hgi/index.html Nonredundant set of transcriptoriented
clusters, different approach to
Unigene, little manual curation, short
consensus sequences
STACKdbTM
http://www.sanbi.ac.za/Dbases.html Nonredundant set of gene-oriented
transcripts containing alternative
spliceforms and consensus sequences.
Segregated according to tissues or
parent mRNA index
BODYMAP http://bodymap.ims.u-tokyo.ac.jp/ Mouse and human gene expression
database, with strong orientation
towards transcripts and expression
Human Gene Mutation Database http://www.hgmd.org Curated dataset of human gene
mutations. Cannot be easily
downloaded
LocusLink http://www.ncbi.nlm.nih.gov/LocusLink/ Provides an integrated query interface
to curated sequence and descriptive
information about genetic loci
Genome Databases
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below) has resulted in a stable platform for exploration
of methods to provide genome-linked information. Its
maturity is reflected in the sophistication of the
genome database system, which now supports a
completed genome.
WormBase incorporates a large variety of data,
including views of the complete sequence, genes,
associated single nucleotide polymorphisms, genes of
similar expression profile and RNA interference
experiments (Figure 1). The system has been developed
with close integration to the Distributed Annotation
Server (DAS) protocol (see below) and as such
represents a flagship for future powerful genome
database efforts.
Fruitfly
FlyBase is a highly comprehensive database for
information on the genetics and molecular biology of
Drosophila. It includes data from the Drosophila
Genome Projects and data curated from the literature
(Ashburner and Drysdale, 1994). FlyBase is a very
well-integrated genome resource. Among its several
features are the ability for users to access cytologic
maps, annotated genome, genes, alleles, gene products,
genome annotation, protein function, location, process,
structure, gene expression, sequences, search
genomic sequences and clones, search and order
expressed sequence tag (EST) project complementary
DNAs, order stocks, browse natural transposons, view
anatomy and images, find references and access
addresses of people in the community.
The system has been built by the research community
of Drospohila. Software development for FlyBase
has gone hand in hand with experimental development.
On completion of the fly genome, annotation
was carried out using the concept of a ‘jamboree’, in
which domain experts were shut in a room with
software developers to ensure expert curation of the
genome. The database reflects the integration of the
community that it represents.
Yeast
The Saccharomyces Genome Database (SGD) project
collects information and maintains a database of the
molecular biology of the yeast S. cerevisiae. As one of
the oldest eukaryotic genome projects, the SGD
contains perhaps some of the most integrated and
informative information. It uses the AceDB environment.
Once a user has overcome the steep learning
curve of the AceDB database structure, it becomes a
resource made more powerful by its standardization
between organism databases.
The SGD is very powerful in that it holds a
completed genome with very well-characterized genes
that bear formidable genetic and experimental work.
For each gene, the database contains the standard
collection of information that is common to other
genome database. The SGD also contains the most
Figure 1 Genome view of WormBase showing user-selected annotations for gene unc-9. Annotation tracks tend to become added with time,
allowing the user to refine the evidence and quality of annotation for a particular region of interest.
Genome Databases
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available array expression information that has been
consolidated for a genome (Figure 2). Genes can be
queried electronically by gene name to yield an
electronic expression profile that is based on numerous
expression array experiments.
Genome Database Systems
Genome databases vary in size, connectivity and
complexity as a function of the degree of funding
that they command. NCBI and Ensembl, which is
funded by the Wellcome Trust, are the largest systems
and as such provide the most comprehensive resources.
Both are ‘sequence-centric’ systems. Each ‘build’ of the
human genome assembly is manufactured separately
at NCBI and the Ensembl/GoldenPath sites. The
systems have the capacity to support several species
of genomes and have developed tools and systems
for analysis of human, mouse and several other
organisms.
NCBI genome resources
NCBI’s website serves an integrated, one-stop, genomic
information infrastructure for biomedical researchers.
(NCBI Website)
The NCBI system is one of the oldest of the sequencebased
resources in that it combines existing information
systems onto the new genome assembly information in
an integrated manner. However, the genome-centric
viewing and integration system itself is very new and
still in early development. The NCBI system allows the
viewing of genome fragments and also the investigation
of human genome sequence from an evidencebased
gene-centric viewpoint (Figure 3). Links exist
between genes in the database and the genome
sequence from which they originate.
The entry page shows graphics of all of the
chromosomes and allows a search of the data in all
of the maps available for that organism. Sequence,
cytogenetic, genetic, radiation hybrid and others are
included. Terms that can be searched include gene
symbol, gene name, marker name, aliases for marker
name and text word (e.g. actin) or phrase (e.g. cell
adhesion). The linkage between genome views and the
richly integrated PubMed/GenBank Entrez database
is still very much in development. In the longer term,
however, the NCBI genome-based resource is likely to
become more powerful.
Ensembl
Ensembl is a joint project between EMBL–EBI and the
Sanger Institute to develop a software system which
produces and maintains automatic annotation on
eukaryotic genomes. (Ensembl Website)
Figure 2 Array gene expression profile for a gene in Sacchromyces Genome Database. Open reading frames (left column) are compared with
experiments (top row) and information on relative level of expression (color) and Gene Ontology is presented.
Genome Databases
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The Ensembl system provides identification of most
of the known human genes in the genome sequence,
prediction of additional genes, supporting evidence
and connections to other resources worldwide using
many public genomic databases and tools. The system
relies heavily on automated predictions and unsupervised
inclusion of supporting evidence, and as such is a
guide to the structure and relationships of genes in the
genome. From its inception, however, it has been
possible to view regions of the genome to include
information such as radiation hybrid markers, transcript
evidence, gene predictions, exon boundaries,
protein products and intron–exon structure of entries
(Figure 4).
Ensembl design has far less ‘legacy’ than other
systems and, as such, it reflects far easier navigation,
accessibility and more powerful integration than the
other established databases of human and other
systems. It maintains its own accession system but
links these accessions to known accessions such as
GenBank accession codes and Human Genome
Nomenclature Database (HUGO) nomenclature. A
gene report links a single page to actual genome views,
evidence to support the report, and presumably other
information that is pertinent to each entry. Several
powerful features are built into the Ensembl system
and its development has been rapid. It represents a
good starting point for genome viewing and gene
structure analysis.
Human Genome Project Working Draft
Golden Path Assembly, located at the University of
Santa Cruz, California (UCSC), is the most sequencecentric
of the human genome data systems. The system
has a powerful feature termed ‘tracks’ that allow users
to submit annotation tracks to the genome at the
sequence level (Figure 5). The site contains a working
draft of the human genome in its most up-to-date
state. Because users can add ‘tracks’, this site has the
newest forms of annotation, for example, ‘highresolution
haplotypes’. Features include annotation
of repeat sequences, transcripts mapped to the genome,
Ensembl gene predictions, spliced ESTs, random
single nucleotide polymorphisms (SNPs), sequencetagged
site (STS) markers and human mRNAs from
GenBank.
Genome Database Technologies
Genome information reflects the complexity of the
biological system that it represents. No preexisting
technology had a suitable architecture with which to
address the construction of databases for biological
genome information. Scientists have therefore had to
develop systems to organize and to analyze genome
information in order to derive biological meaning.
The development of genome database systems has
Figure 3 Web-based evidence view at NCBI for genes in a region of the human genome. Use of standardized accessions allows tight
integration with other data related to the genome. The map is clickable to allow for links and access to further annotations.
Genome Databases
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Figure 5 UCSC Genome Browser view showing selected tracks. The UCSC system was the first to allow user-mapped data to
be included with data served by the Genome Browser. Tracks of mapped information (e.g. equivalent fish exons) can be selected using
tick boxes below the graphic.
Figure 4 Contig view of human lipoprotein lipase using the Ensembl web viewer. The user can alter the view by zooming, can examine
evidence using DAS sources and can link to Ensembl accessions by clicking on the map.
Genome Databases
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reflected the availability of existing technologies such
as relational databases, the World Wide Web and
Internet, and scripting languages such as Python and
Perl. The setting up of genome databases has also
resulted in the development of new systems and
languages. The technologies have had to address
some consistent problems of database development.
Examples of problems include compact, complex and
highly interrelated data, and how to let the community
interact with information in the database and provide
further value to it without degrading the quality of that
information.
AceDB
The Caenorhabditis community provides an early
example of a specific software system that was
developed specifically for a particular genome project.
AceDB (A C. elegans DataBase) is a genome database
system that has been developed since 1989 primarily by
Jean Thierry-Mieg and Richard Durbin. This system is
unique in that it is a software system designed
specifically for genome databases and is freely available
and distributed. Thus, several genomes are now
resident in AceDB systems worldwide. But this system
by itself has little value without the data that it
contains. AceDB offers the ability to incorporate any
form of data and to lay it with context to the genome.
A large user community has grown up around
AceDB, which also has a large developer base. It is not
a modern system but because of its broad user base it
has become a de facto standard for a proportion of the
genome community. An advantage of the system is
that changes to the local copy of information in the
database can be sent to a central organizer for
redistribution.
DAS
A powerful new approach to the problem of distributing
annotation was developed in 2001 (Dowell et al.,
2001). DAS is a client–server system, which allows a
single client to integrate information from several
servers. Implemented as a protocol specification on
top of the web page protocol HTTP, the DAS protocol
specifies a small number of low-level commands with
limited intrinsic semantic content. DAS first allows
diverse sources (DAS ‘annotation’ servers) to overlay
annotations on a reference sequence map (e.g.
Ensembl, DAS reference server) and then allows
these annotations to be seamlessly (but optionally)
recruited into the genome view, which is accessed by
a DAS client. Ensembl allows DAS sources to be
specified for overlay annotation of the reference
sequence. Two main annotation servers are supplying
DAS-formatted information: the Sanger Institute,
which serves gene SNPs and various repeats; and
The Institute of Genomic Research (TIGR), which
serves tentative human consensus (THC) alignments.
The value of DAS lies in managing the distributed
annotation of the genome. Any group with a DAS
server can serve up information to the genome
community and annotate a genome with respect to
their own view of the genome. This provides a solution
for the perennial problem of community involvement
in genome annotation, as the user can choose to
believe the creator of the DAS-served information.
Gene Ontology Consortium
Several lessons have arisen from the development of
eukaryotic genome databases such as FlyBase. Perhaps
the most important lesson has been that very
close communication between the wet bench
researcher, the genome scientists and the bioinformatics
specialists is essential. Close communication
between organism-based data systems also has strong
benefits.
Out of close communication has arisen the concept
of the ‘gene ontology’ (Ashburner et al., 2000). Many
of the genes that specify core biological functions are
shared by eukaryotes that are represented by model
organisms. Knowledge of the biological role of such
shared proteins in one organism can often be
transferred to other organisms. The Gene Ontology
Consortium has attempted to provide a dynamic,
strictly controlled vocabulary that can be applied to
all eukaryotes. This vocabulary addresses biological
process, molecular function and cellular component.
Model organism databases all take part in the Gene
Ontology Consortium and so benefit from shared
expertise and vocabularies.
Open Source
Definitions of open source vary widely but represent a
model for software and data availability that in loose
terms means that all software and data resulting from
its use are licensed for open public access and
development. Although most of the principal genome
databases embrace public distribution and access to
source codes of software, each has taken its own track
through the open source model.
Software developed at the Ensembl site, and also at
several other sites in genome databases, is publicly
available. The main difference between the Ensembl
system and all others currently in development is that
it has been conceived and executed totally in an ‘open
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source’ environment using open source tools that are
applied commonly across many technologies. It
includes the public access to development mailing
lists. An open source development methodology,
together with the significant funding that supports
the project, ensures its long-term viability and broad
availability and distribution. NCBI and AceDB use
their own open source technologies that have been
developed specifically for genome databases.
As the Ensembl team has several different projects
undergoing integrated development, associated software
is now being written that can integrate back to
the genome for human and other genomes. Software
examples of available genome annotation viewers
developed at the Sanger Institute are Apollo and
Artemis (Rutherford et al., 2000). Apollo is a genomic
annotation viewer and editor developed for eukaryotic
work in a collaboration between the Berkeley Drosophila
Genome Project and the Sanger Institute. It
provides access to newer software and integration
features for the genome projects.
See also
Caenorhabditis elegans Genome Project
Genetic Databases
Human Genome: Draft Sequence
References
Ashburner M, Ball CA, Blake JA, et al. (2000) Gene ontology: tool
for the unification of biology. The Gene Ontology Consortium.
Nature Genetics 25(1): 25–29.
Ashburner M and Drysdale R (1994) FlyBase – the Drosophila
genetic database. Development 120: 2077–2079.
Dowell RD, Jokerst RM, Day A, Eddy SR and Stein L (2001) The
distributed annotation system. BioMedCentral Bioinformatics
2(1): 7.
Rutherford K, Parkhill J, Crook J, et al. (2000) Artemis: sequence
visualization and annotation. Bioinformatics 16(10): 944–945.
Further Reading
Date CJ (1990) An Introduction to Database Systems, 5th edn.
Reading, Boston, MA: Addison-Wesley.
Etzold T, Ulyanov A and Argos P (1996) SRS: information retrieval
system for molecular biology data banks. Methods in Enzymology
266: 114–128.
Goffeau A (1997) The yeast genome directory. Nature 387(6632
supplement): 5.
Letovsky S (ed.) (1999) Bioinformatics: Databases and Systems.
Boston, MA: Kluwer.
Ringwald M, Baldock R, Bard J, et al. (1994) A database for mouse
development. Science 265(5181): 2033–2034.
Each January issue of Nucleic Acids Research is a special database
issue.
Web Links
AceDB. Comprehensive information about the AceDB system, its
community, tools for use, quick guide and downloads
http://www.acedb.org/
Apollo Gene Annotation Tool. User documentation and downloads
for multiple platforms for the Apollo gene annotation tool
http://www.ensembl.org/apollo/apolloguide.html
BioMedCentral.
http://www.biomedcentral.com/1471-2105/2/7
Distributed Annotation System (DAS). Covers latest developments
in the Distributed Annotation System community, tools, downloads
and developer information
http://www.biodas.org
Ensembl. Central site for the Ensembl genome browsers, helpdesk
access, latest announcements and links to data-mining tools for
the Ensembl system
http://www.ensembl.org/
Entrez. Entry point to the NCBI retrieval system for searching a
growing list of linked databases that include publications,
sequences, online texts, diseases and genomes
http://www.ncbi.nlm.nih.gov/Entrez/
Gene Ontology Consortium. Home for the Gene Ontology Consortium.
Provides comprehensive information on Gene Ontology
projects, downloads, developer tools, publications and links
http://www.geneontology.org
GOLD: Genomes OnLine Database. Resource for comprehensive
access to information regarding complete and ongoing genome
projects around the world
http://wit.integratedgenomics.com/GOLD/
The Genome Database (GDB). Entry portal to The Genome Database
(human)
http://gdbwww.gdb.org/
Human Gene Nomenclature Database (HUGO). Search engine for
approved human gene symbols
http://www.gene.ucl.ac.uk/cgi-bin/nomenclature/searchgenes.pl
Human Gene Mutation Database. Entry point for access to curated
information on human gene mutations
http://www.hgmd.org
Mouse Genome Informatics. Entry point for integrated access to
data on the genetics, genomics, and biology of the laboratory
mouse
http://www.informatics.jax.org/
National Center for Biotechnology Information (NCBI). Homepage
for the National Center for Biotechnology Information in the
USA. Provides current information on projects, releases and
links to the major NCBI projects
http://www.ncbi.nlm.nih.gov/
Open Source. Homepage of the Open Source Initiative. Definitions,
licenses and certifications of open source efforts, together with
explanations on the nature of open source
http://www.opensource.org
Saccharomyces Genome Database (SGD). Comprehensive entry
point for the database of the molecular biology and genetics of
the yeast S. cerevisiae
http://genome-www.stanford.edu/Saccharomyces/
The Institute for Genomic Research (TIGR). Homepage of the
Institute for Genomics Research. Includes links to activities of
the institute
http://www.tigr.org/
WormBase. Homepages of the AceDB site for the genome and
biology of C. elegans. Comprehensive entry point
http://www.wormbase.org
Genome Databases
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